Monthly Traffic Safety Analysis

188 CRASHES IN
QUINCY, MA
JUNE 2024

All metrics benchmarked againstJune 2023

QUINCY experienced an 11.9% increase in total crashes, rising from 168 in June 2023 to 188 in June 2024. The total number of injuries also increased from 37 to 51 during this period. The most notable year-over-year shift was the 133.3% increase in speeding-related crashes, which rose from 3 to 7.

188

11.9%was 168

Total Crash Events

0

Persons Killed

51

37.8%was 37

Persons Injured

34

61.9%was 21

Hit-and-Run Crashes

Note: "Persons Killed" (0) counts individual fatalities across all crash events. "Fatal" in the severity table below (0) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 9 crashes with unreported severity are not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crashes in QUINCY showed an upward trend, increasing by 11.9% from 168 crashes in June 2023 to 188 crashes in June 2024. Total injuries also increased by 37.8%, from 37 to 51, while fatalities remained at zero in both periods.

34

Hit-and-Run Crashes — June 2024

61.9% vs prior (21)

Hit-and-run crashes increased significantly from 21 in June 2023 to 34 in June 2024, representing a 61.9% rise in count. The hit-and-run rate also increased from 12.5% of all crashes to 18.1%, indicating an upward trend in these incidents.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Cyclists Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

1

Pedestrians Injured

Prior: 0%

1

Cyclists Injured

Prior: 3-66.7%

49

Motorists Injured

Prior: 3444.1%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak day for crashes shifted from Friday with 36 crashes in June 2023 to Saturday with 35 crashes in June 2024. The peak hour for crashes also shifted from 2 PM with 17 crashes in June 2023 to 5 PM with 19 crashes in June 2024. Crashes on Saturdays saw a substantial increase from 12 to 35, while crashes on Fridays decreased from 36 to 29.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities remained at zero in both June 2023 and June 2024. Serious injuries increased from 1 (0.6% of crashes) to 2 (1.1% of crashes) year-over-year. Minor injuries saw a slight increase in count from 21 to 24, maintaining a similar proportion of total crashes at 12.5% and 12.8% respectively.

Outcome by Severity (Crash Events)

Serious Injury2serious injury crashes1.1%
100.0%prior 1
Minor Injury24minor injury crashes12.8%
14.3%prior 21
Possible Injury10possible injury crashes5.3%
-9.1%prior 11
No Injury143no injury crashes76.1%
9.2%prior 131

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Most severe injury per crash record

Top Contributing Factors

Inattention remained the leading contributing factor, increasing in count from 44 to 61, a 38.6% rise. Crashes attributed to 'No improper driving' slightly increased from 28 to 29, a 3.6% change in count. 'Failed to yield right of way' crashes decreased slightly from 21 to 20, a 4.8% reduction in count.

Officer-Reported Primary Contributing Cause

Inattention61 (32.4%)38.6%prior 44
No improper driving29 (15.4%)3.6%prior 28
Failed to yield right of way20 (10.6%)-4.8%prior 21
Failure to keep in proper lane or running off road11 (5.9%)-8.3%prior 12
Followed too closely8 (4.3%)-33.3%prior 12
Over-correcting/over-steering5 (2.7%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner5 (2.7%)
Other improper action4 (2.1%)-42.9%prior 7
Driving too fast for conditions4 (2.1%)
Made an improper turn3 (1.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions increased by 41, from 99 in June 2023 to 140 in June 2024. Conversely, crashes in 'Rain' conditions significantly decreased from 23 to 4, an 82.6% reduction. Crashes on 'Dry' road surfaces increased from 134 to 167, while those on 'Wet' surfaces decreased from 34 to 21.

Weather

Clear140 (74.5%)
41.4%prior 99
Clear/Clear21 (11.2%)
50.0%prior 14
Cloudy12 (6.4%)
-25.0%prior 16
Cloudy/Rain5 (2.7%)
Cloudy/Cloudy4 (2.1%)
-20.0%prior 5
Rain4 (2.1%)
-82.6%prior 23
Rain/Rain2 (1.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Weather condition at time of crash

Lighting

Daylight156 (83.4%)
16.4%prior 134
Dark - lighted roadway25 (13.4%)
-7.4%prior 27
Dusk2 (1.1%)
Dark - roadway not lighted2 (1.1%)
Dawn1 (0.5%)
Dark - unknown roadway lighting1 (0.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Lighting condition field

Road Surface

Dry167 (88.8%)
24.6%prior 134
Wet21 (11.2%)
-38.2%prior 34

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes increased from 327 to 357 year-over-year. Toyota remained the most frequently involved make, increasing from 56 to 65 vehicles. The 26-34 age group saw a notable increase in persons involved, rising from 73 to 96, a 31.5% change.

Top Vehicle Makes (357 vehicles)

1
TOYOTA65 (18.2%)
16.1%prior 56
2
HONDA46 (12.9%)
-8.0%prior 50
3
FORD42 (11.8%)
5.0%prior 40
4
CHEVROLET21 (5.9%)
-16.0%prior 25
5
JEEP19 (5.3%)
5.6%prior 18
6
NISSAN17 (4.8%)
6.3%prior 16
7
HYUNDAI10 (2.8%)
-16.7%prior 12
8
LEXUS10 (2.8%)
-9.1%prior 11
9
KIA10 (2.8%)
66.7%prior 6
10
MERCEDES-BENZ9 (2.5%)
12.5%prior 8

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Vehicle unit records

41 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (407 persons with recorded sex)

Male240 (59.0%)
11.1%prior 216
Female167 (41.0%)
15.2%prior 145

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 25 mph speed zones increased from 102 to 125, a 22.5% rise. Conversely, crashes in 30 mph zones decreased from 25 to 17, a 32% reduction. No fatal crashes were recorded in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Posted speed limit at crash location

Data Sources & Methodology

Primary Data Source

All crash data in this report is sourced from Massachusetts Crash Data (MassDOT CDV), accessed programmatically via the Arcgis_yearly Open Data API (SODA). This dataset contains official police-reported motor vehicle traffic crash records maintained by the reporting jurisdiction's law enforcement agency. Records are published to the open data portal by the municipality and are subject to the portal's terms of use.

Data Retrieval

  • Access method: Arcgis_yearly Open Data API (SoQL queries)
  • Data format: Structured JSON via REST API
  • Record types queried: Crash events, person records, and vehicle unit records
  • Date filter applied: 2024-06-01 through 2024-06-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2024-06-01 through 2024-06-30 (30 days)
  • Geographic scope: QUINCY, MA
  • Total crash records analyzed: 188
  • Total persons involved: 447
  • Total vehicles involved: 357

Analytical Methodology

  • Severity classification: Uses the KABCO injury scale (K=Fatal, A=Incapacitating injury, B=Non-incapacitating injury, C=Possible injury, O=No injury/property damage only), the standard classification in U.S. Model Minimum Uniform Crash Criteria (MMUCC). Severity is assigned per crash event based on the most severe injury in that crash. A single fatal crash (K) may involve multiple fatalities; therefore the "Persons Killed" count in the headline KPIs may differ from the "Fatal" crash count in the severity breakdown.
  • Contributing factors: Reflect the officer-determined primary contributory cause recorded at the time of the crash report. These are preliminary determinations and may not reflect final investigation findings.
  • Hit-and-run classification: Based on the hit-and-run indicator field in the official crash report, as determined by the responding officer at the scene.
  • Temporal analysis: Day-of-week and hour-of-day distributions are computed from the crash date/time timestamp in each record.
  • Demographics: Age and sex distributions are drawn from person-level records linked to each crash event. A single crash may involve multiple persons.
  • Vehicle data: Make information is drawn from vehicle unit records linked to each crash event.
  • AI commentary: Narrative sections are generated by Google Gemini (large language model) based on the structured data. Commentary is descriptive, not predictive, and should not be interpreted as expert opinion.

Limitations & Disclaimers

  • Only crashes reported to and documented by law enforcement are included. Minor incidents, unreported crashes, and near-misses are not captured in this dataset.
  • Data reflects conditions at the time of the initial police report and may be subject to subsequent corrections, reclassifications, or supplements by the reporting agency.
  • Open data portal records may experience a publication lag - recently occurring crashes may not yet appear in the dataset at the time of report generation.
  • AI-generated commentary is produced by a large language model and is intended to highlight patterns in the data. It does not constitute legal, medical, or professional analysis.
  • Percentages are calculated from reported data and are subject to rounding.

Non-Affiliation Disclosure

This report is produced independently by ThatCarHitMe.com (Injuria.ai). It is not affiliated with, endorsed by, or produced in partnership with any law enforcement agency, municipal government, state department of transportation, or the National Highway Traffic Safety Administration (NHTSA). Data is sourced from publicly available government open data portals.

Data License

The underlying crash data is provided under the municipality's Open Data Terms of Use and is made available to the public for unrestricted use. This analysis and report is © 2026 Injuria.ai and may be cited with attribution using the suggested citation below.

Corrections & Feedback

If you believe any data in this report is inaccurate or have questions about our methodology, please contact: data@injuria.ai. We are committed to accuracy and will issue corrections promptly.

Suggested Citation

ThatCarHitMe.com (Injuria.ai). "QUINCY, MA Crash Intelligence Report: June 2024." Published June 21, 2026. Reporting period: 2024-06-01 to 2024-06-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/quincy/june-2024-report

About the Publisher

ThatCarHitMe.com is a crash data intelligence platform developed by Injuria.ai, a legal technology company specializing in traffic safety analytics. We aggregate and analyze publicly available government crash data to produce structured intelligence reports for communities, researchers, journalists, and legal professionals. Our reports combine programmatic data retrieval from official open data portals with AI-assisted narrative analysis.

Questions about this report's data or methodology: data@injuria.ai

ThatCarHitMe.com · An Injuria.ai Company

Quincy, MA Crash Report — June 2024 | ThatCarHitMe.com